Data Engineer to Cloud Engineer

Summary: None of the 7 core skills listed for Cloud Engineer match Data Engineer word for word, but 5 build on related experience. The US median salary changes by +4% ($130K → $135K). Difficulty: Challenging, typically around 9 months of focused upskilling.

The two roles

Data Engineer: Build and maintain data pipelines and infrastructure for analytics.

Cloud Engineer: Design and manage cloud infrastructure on AWS, Azure, or GCP. Growth outlook +23%; AI-augmented (AI changes how the work is done, not whether it exists). Typical education: bachelor. Typical experience: 2+ years.

Skills that carry over

None of the listed skills match word for word, but the related experience below transfers.

Builds on related experience

• AWS — builds on Cloud Platforms
• Azure — builds on Cloud Platforms
• GCP — builds on Cloud Platforms
• Terraform — builds on Cloud Platforms
• Kubernetes — builds on Cloud Platforms

Skills to learn for Cloud Engineer

• Networking
• Security

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

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Related

Data Engineer career guide | Cloud Engineer career guide

Other transitions to consider

• Data Engineer to Data Scientist — 4 of the core skills carry over
• Data Engineer to Data Analyst — 4 of the core skills carry over
• Data Engineer to Database Administrator — 5 of the core skills carry over
• Data Engineer to ML/AI Engineer — 2 of the core skills carry over
• Network Engineer to Cloud Engineer — 2 of the core skills carry over
• System Administrator to Cloud Engineer — 7 of the core skills carry over
• DevOps Engineer to Cloud Engineer — 6 of the core skills carry over
• Site Reliability Engineer (SRE) to Cloud Engineer — 6 of the core skills carry over